# Export Sales Navigator (No cookies) (`baseball/sales-nav-no-cookies-ap`) Actor Extract complete lead lists from any LinkedIn Sales Navigator search URL, including full company-level and person-level data. Simply submit your Sales Navigator search URL and get a clean, structured export. Designed for lead generation, outbound prospecting, and sales intelligence workflows. - **URL**: https://apify.com/baseball/sales-nav-no-cookies-ap.md - **Developed by:** [Tools Email](https://apify.com/baseball) (community) - **Categories:** Lead generation, Social media - **Stats:** 5 total users, 4 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 4.25 out of 5 stars ## Pricing from $3.00 / 1,000 exports This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 🧭 Sales Navigator Scraper (No Cookies) Extract complete lead lists from any LinkedIn Sales Navigator search URL, including full company-level and person-level data. Simply submit your Sales Navigator search URL and get a clean, structured export. Designed for lead generation, outbound prospecting, and sales intelligence workflows. **No login cookies required.** --- ### ⚙️ Scraping Options Choose from three modes when running the actor: | Option | What You Get | |---|---| | **Export** | Full company + person data from your Sales Navigator search | | **Export + Email** ⭐ | Everything in Export, plus verified email addresses | | **Export + Waterfall Enrichment** ⭐ | Everything in Export, plus emails enriched through multiple data providers (waterfall) for the highest possible match rate | --- ### 📌 Data Fields Included | Field | Description | |---|---| | First Name | Prospect first name | | Last Name | Prospect last name | | Email | Prospect's email address | | Summary | Prospect's profile summary/bio | | Job Title | Current job title | | Job Description | Description of the prospect's current role | | Job Started On | Month/year the prospect started their current job | | LinkedIn URL | Prospect's direct LinkedIn profile URL | | Location | Prospect location | | Company LinkedIn ID | Numeric LinkedIn ID of the company | | Company LinkedIn URL | Company LinkedIn page URL | | Company | Name of the company | | Company Website | Company website URL | | Company Description | Company about/description section | | Company Specialities | Company's listed specialities | | Company Employees | Total number of employees at the company | | Company Industry | Industry of the company | | Company Founded Year | Year the company was founded | | Company Location | Company location | | Premium | Indicates if the member has LinkedIn Premium | | Profile Picture URL | URL of the prospect's LinkedIn profile picture | | Member URN | LinkedIn's unique URN identifier for the member | | Public Identifier | Prospect's public LinkedIn profile slug | | Recently Hired | Indicates if the prospect was recently hired (if available) | --- ### 📊 Sample Output ```json { "First Name": "Harshit", "Last Name": "Vijayvargiya", "Email": "harshit.vijayvargiya@toneop.com", "Summary": "Looking for a job as Backend Developer", "Job Title": "React Native Developer", "Job Description": "Expert in designing, developing, and deploying end-to-end solutions for mobile and web applications using React and React Native. Experienced in team handling and management, ensuring seamless project execution and delivery.", "Job Started On": "1/2023", "LinkedIn URL": "https://www.linkedin.com/in/harshit-vijayvargiya-b78087161", "Location": "Pune District, Maharashtra, India", "Company LinkedIn ID": "75010426", "Company LinkedIn URL": "http://www.linkedin.com/company/bansal-tech-professionals", "Company": "Bansal Tech Professionals", "Company Website": "http://www.bansaltechprofessionals.com", "Company Description": "Bansal Tech professionals private limited is a next-generation global technology company that helps enterprises reimagine their businesses for the digital age...", "Company Specialities": "application developing, software developing, and UI/ UX designing", "Company Employees": "43", "Company Industry": "IT Services and IT Consulting", "Company Founded Year": "", "Company Location": "Bhopal, Madhya Pradesh, India", "Premium": "FALSE", "Profile Picture URL": "https://media.licdn.com/dms/image/v2/C4E03AQEgyH-Tv2csPQ/profile-displayphoto-shrink_100_100/profile-displayphoto-shrink_100_100/0/1523189163779?e=1784764800&v=beta&t=0PpRZxPcBSiacqgxD44lYq9gH0oqLeUMk36UBTmN4qo", "Member URN": "urn:li:member:648138188", "Public Identifier": "harshit-vijayvargiya-b78087161", "Recently Hired": "" } ```` *** ### 💰 Pricing Sales Navigator Scraper is available on a **pay-per-result** basis: - **Export**: $3.00 per 1,000 leads - **Export + Email**: $5.00 per 1,000 leads - **Export + Waterfall Enrichment**: $25.00 per 1,000 leads *** ### 📦 Estimated Delivery Time | Volume | Delivery Time | |---|---| | Up to 10k leads | within 3 hours | | 10k – 50k leads | 3–6 hours | | 50k+ leads | 6–12 hours | *** ### 📁 How to Use 1. Create a free Apify account 2. Provide your Sales Navigator search URL as input 3. Select your scraping option (Export / Export + Email / Export + Waterfall Enrichment) 4. Run the actor 5. Download structured JSON, CSV, or Excel output # Actor input Schema ## `salesNavUrl` (type: `string`): Full Sales Navigator people search URL. ## `leadCount` (type: `string`): Number of leads to scrape. ## `service` (type: `string`): Choose the type of enrichment service to run on your leads. ## `fileName` (type: `string`): Used to tag your output. No special characters needed. ## Actor input object example ```json { "salesNavUrl": "https://www.linkedin.com/sales/search/people?query=(filters%3AList((type%3AINDUSTRY%2Cvalues%3AList((id%3A4%2Ctext%3ASoftware%2520and%2520IT%2520Services%2CselectionType%3AINCLUDED))),(type%3AGEO%2Cvalues%3AList((id%3A103644278%2Ctext%3AUnited%2520States%2CselectionType%3AINCLUDED))),(type%3ASENIORITY_LEVEL%2Cvalues%3AList((id%3A4%2Ctext%3ADirector%2CselectionType%3AINCLUDED),(id%3A5%2Ctext%3AVice%2520President%2CselectionType%3AINCLUDED),(id%3A6%2Ctext%3AC-Level%2CselectionType%3AINCLUDED)))))&sessionId=abc123", "leadCount": "100", "service": "Exports", "fileName": "my_leads_export" } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "salesNavUrl": "https://www.linkedin.com/sales/search/people?query=(filters%3AList((type%3AINDUSTRY%2Cvalues%3AList((id%3A4%2Ctext%3ASoftware%2520and%2520IT%2520Services%2CselectionType%3AINCLUDED))),(type%3AGEO%2Cvalues%3AList((id%3A103644278%2Ctext%3AUnited%2520States%2CselectionType%3AINCLUDED))),(type%3ASENIORITY_LEVEL%2Cvalues%3AList((id%3A4%2Ctext%3ADirector%2CselectionType%3AINCLUDED),(id%3A5%2Ctext%3AVice%2520President%2CselectionType%3AINCLUDED),(id%3A6%2Ctext%3AC-Level%2CselectionType%3AINCLUDED)))))&sessionId=abc123", "leadCount": "100", "service": "Exports", "fileName": "my_leads_export" }; // Run the Actor and wait for it to finish const run = await client.actor("baseball/sales-nav-no-cookies-ap").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "salesNavUrl": "https://www.linkedin.com/sales/search/people?query=(filters%3AList((type%3AINDUSTRY%2Cvalues%3AList((id%3A4%2Ctext%3ASoftware%2520and%2520IT%2520Services%2CselectionType%3AINCLUDED))),(type%3AGEO%2Cvalues%3AList((id%3A103644278%2Ctext%3AUnited%2520States%2CselectionType%3AINCLUDED))),(type%3ASENIORITY_LEVEL%2Cvalues%3AList((id%3A4%2Ctext%3ADirector%2CselectionType%3AINCLUDED),(id%3A5%2Ctext%3AVice%2520President%2CselectionType%3AINCLUDED),(id%3A6%2Ctext%3AC-Level%2CselectionType%3AINCLUDED)))))&sessionId=abc123", "leadCount": "100", "service": "Exports", "fileName": "my_leads_export", } # Run the Actor and wait for it to finish run = client.actor("baseball/sales-nav-no-cookies-ap").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "salesNavUrl": "https://www.linkedin.com/sales/search/people?query=(filters%3AList((type%3AINDUSTRY%2Cvalues%3AList((id%3A4%2Ctext%3ASoftware%2520and%2520IT%2520Services%2CselectionType%3AINCLUDED))),(type%3AGEO%2Cvalues%3AList((id%3A103644278%2Ctext%3AUnited%2520States%2CselectionType%3AINCLUDED))),(type%3ASENIORITY_LEVEL%2Cvalues%3AList((id%3A4%2Ctext%3ADirector%2CselectionType%3AINCLUDED),(id%3A5%2Ctext%3AVice%2520President%2CselectionType%3AINCLUDED),(id%3A6%2Ctext%3AC-Level%2CselectionType%3AINCLUDED)))))&sessionId=abc123", "leadCount": "100", "service": "Exports", "fileName": "my_leads_export" }' | apify call baseball/sales-nav-no-cookies-ap --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=baseball/sales-nav-no-cookies-ap", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Export Sales Navigator (No cookies)", "description": "Extract complete lead lists from any LinkedIn Sales Navigator search URL, including full company-level and person-level data. Simply submit your Sales Navigator search URL and get a clean, structured export. Designed for lead generation, outbound prospecting, and sales intelligence workflows.", "version": "0.0", "x-build-id": "z7AK7oav5OwO5yWEL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/baseball~sales-nav-no-cookies-ap/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-baseball-sales-nav-no-cookies-ap", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/baseball~sales-nav-no-cookies-ap/runs": { "post": { "operationId": "runs-sync-baseball-sales-nav-no-cookies-ap", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/baseball~sales-nav-no-cookies-ap/run-sync": { "post": { "operationId": "run-sync-baseball-sales-nav-no-cookies-ap", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "salesNavUrl", "leadCount", "service", "fileName" ], "properties": { "salesNavUrl": { "title": "Please share the complete LinkedIn Sales Navigator Search URL.", "type": "string", "description": "Full Sales Navigator people search URL." }, "leadCount": { "title": "How many leads you want?", "enum": [ "50", "100", "200", "300", "400", "500", "600", "700", "800", "900", "1000", "1100", "1200", "1300", "1400", "1500", "1600", "1700", "1800", "1900", "2000", "2100", "2200", "2300", "2400", "2500" ], "type": "string", "description": "Number of leads to scrape." }, "service": { "title": "Select Service", "enum": [ "Exports", "Exports + Email Enrichment", "Exports + Waterfall Enrichment" ], "type": "string", "description": "Choose the type of enrichment service to run on your leads." }, "fileName": { "title": "Name your result file", "type": "string", "description": "Used to tag your output. No special characters needed." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```